14 results about "Device Usage" patented technology

The invention provides a search result recommendation method and equipment, which are used for improving the search performance of electronic equipment and improving the use experience of a user on a search function of the electronic equipment. According to the method, the electronic equipment detects and responds to a search instruction of a user, and a search word can be obtained; the electronic equipment can obtain at least one piece of equipment use information; based on the obtained search term and the equipment use information, the electronic equipment can provide a search result matched with the equipment use information of the electronic equipment, and the provided search result can be obtained after screening and / or sorting. Therefore, the search result provided by the electronic equipment can fit the use habit of the user or can be matched with the use state of the electronic equipment, so that the use experience of the user can be improved.

1. The name of the design product: device usage record graphical user interface for electronic device. 2. The use of the design product: the design product is used for electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic device is a conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: after establishing a connection relationship with the hearing aid, the sound log function can be used to view various usage records of the hearing aid. Interface interaction process: design 1 front view is used to display the cumulative usage time of both ears and the recent wearing time information; in design 1 front view, the interface is jumped to design 1 interface change state diagram by sliding upwards, design 1 interface change state diagram is used to display the average wearing time information and more reasonable wearing suggestions; the interaction process and use of design 2 are the same as those of design 1.

Systems and methods for personalized device routines include determining devices associated with user account data and generating device usage data indicating aspects of smart device usage over a period of time. The usage data may then be utilized to identify candidate smart devices, time indicators, and trigger event types to associate with candidate routines. One or more of the candidate routines may be recommended to a user based at least in part on the usage data and the trigger event types at issue to personalize the device routine recommendations.

A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

Techniques for presenting personalized content to a user are described. A smart home system may determine activity data (including present activity data and device usage history) specific to interactions involving a first device, and generate activity embedding data representing the activity data. The smart home system may also receive a first list content for presentment, and generate a second list of content using the first list and the activity embedding data. The smart home system may send the second list to the first device. The first device may determine a third list of content based on the second list and an identify of a user presently interacting with the first device, such that the third list of content is specific to interactions involving the first device and the user. The first device may then present at least one instance of content represented in the third list.

Verifying that a user is using a device at a pre-designated location between a start time and an end time includes: computing a challenge and an answer as a function of the challenge; generating and storing in a blockchain a commitment including an identity of the user, an identity of the device, the pre-designated location associated with the user, a start time of the device usage, an end time of the device usage, and the computed challenge; generating a visual code for the device to carry the answer; encrypting the generated visual code using a public key of the device, wherein the encrypted visual code can only be decrypted with a private key of the device; and storing the encrypted visual code in the blockchain.

This invention discloses a smart home scene recommendation method and smart home devices. It generates and stores an original scene usage dataset based on smart home device usage data from different users, environmental data at usage times, and publicly available personal characteristic data from each user. A preset feature filtering algorithm is used to select multiple important features with importance metrics greater than a preset threshold from various basic features. A preprocessed scene usage dataset is then selected from the original scene usage dataset based on these important features. Finally, target scene setting parameters matching the current user are determined from the preprocessed scene usage dataset based on the importance metrics of each important feature, and these target scene setting parameters are pushed to the current user's terminal. This allows for more accurate smart home scene recommendations and improves the user experience.

A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and / or any other suitable processes performed in any suitable order.

An electronic device, computer program product, and method autonomously updates / modifies device features and / or settings for use in a new location having specific requirements for device usage. The device processor executes code to: determine that a user of the electronic device will be travelling from a first location having the first set of location specific requirements to a second location having a second set of location specific requirements; and identify the second set of location specific requirements corresponding to the second location. In response to at least one of a time trigger or a location trigger corresponding to the electronic device being moved to the second location, the processor autonomously modifies one or more device features associated with the second set of location specific requirements to enable the electronic device to operate according to the second set of location specific requirements while the electronic device is in the second location.

To make it possible to present an estimated apparatus usage environment and support appropriate settings for security measures.SOLUTION: An information processing device acquires feature information of communication performed by a first apparatus, estimates the usage environment of the first apparatus based on a trained model generated by performing machine learning based on feature information of communication performed by a plurality of second apparatuses and setting information on the usage environment set in the second apparatuses, and the acquired feature information of communication related to the first apparatus, and notifies the estimated usage environment of the first apparatus.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of electric appliances, and particularly relates to an equipment use prompting method and device, equipment and a medium, and the method comprises the steps that a target program selected by a user is acquired, and the target program represents a running program which can be executed by the equipment; obtaining historical use information of the target program, wherein the historical use information is used for indicating the historical use times of the target program and a first interval duration between the time of using the target program last time and the current time; according to the historical use information, a prompt strategy corresponding to the target program is obtained, and prompt information is sent to a user based on the prompt strategy so as to prompt the user to look up the use instruction of the target program. According to the method, differentiated reminding can be carried out flexibly according to the degree of need of the user for the specification during user operation according to the historical use information of the program. The method is friendly to the user who cannot skillfully operate the equipment, so that the user can conveniently and quickly check the description, and the user experience is enhanced.

The application discloses an intelligent lighting control system and method based on an Internet of Things, and relates to the technical field of lighting control.The system comprises the following steps: obtaining each historical interaction record of a user and a lighting device, analyzing the interaction state of the lighting device and the user, and obtaining characteristic device data corresponding to the lighting device; monitoring each lighting device, obtaining each historical device usage record of each lighting device, and analyzing the usage state and energy consumption of each lighting device to obtain first device data corresponding to the lighting device; based on the first device data of the lighting device, analyzing the influence state of the electric energy consumption between each lighting device to obtain marker device data of the lighting device; and a lighting device control cloud platform monitors the lighting device in a current period, and controls the lighting of the lighting device based on the marker device data and the characteristic device data corresponding to the lighting device.

1. The name of the design product: device usage record graphical user interface for electronic device. 2. The use of the design product: the design product is used for electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic device is a conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the design product is used to view various usage records of the hearing aid. Interface interaction process: design 1 front view is mainly used to display hearing aid usage records and scene usage records, and more reasonable wearing suggestions can be provided through analysis of the usage records; in design 1 front view, clicking the "pie chart" button on the right side of the scene usage record jumps to design 1 interface change state diagram, which is used to switch the chart style of the scene usage record; the interaction process and use of design 2 are the same as those of design 1.

The embodiment of the invention discloses a service recommendation method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of recommendation. The method comprises: in response to a current key event for a target device, determining service preference information of a target user, and determining use attribute information of the target device, the use attribute information comprising scene information and time period information; and outputting target service recommendation information based on the service preference information and the use attribute information. Thus, when the key operation of the target user is detected, the user service preference and the equipment use attribute can be automatically recognized, intelligent and accurate personalized service recommendation is achieved, the function boundary of physical keys is expanded, the intelligent level of service ecology is effectively improved, and then the interaction efficiency and the user experience are remarkably improved.